Convolutional Neural Networks

Convolutional Neural Networks

deeplearning.ai

About this course: This course will teach you how to build convolutional neural networks and apply it to image data. Thanks to deep learning, computer vision is working far better than just two years ago, and this is enabling numerous exciting applications ranging from safe autonomous driving, to accurate face recognition, to automatic reading of radiology images.
You will:
- Understand how to build a convolutional neural network, including recent variations such as residual networks.
- Know how to apply convolutional networks to visual detection and recognition tasks.
- Know to use neural style transfer to generate art.
- Be able to apply these algorithms to a variety of image, video, and other 2D or 3D data.
This is the fourth course of the Deep Learning Specialization.

Who is this class for: - Learners that took the first two courses of the specialization. The third course is recommended.
- Anyone that already has a solid understanding of densely connected neural networks, and wants to learn convolutional neural networks or work with image data.